Evidence map›Paper›PMID 12042610›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Relationship between premature mortality and socioeconomic factors in black and white populations of US metropolitan areas.

R S Cooper, J F Kennelly, R Durazo-Arvizu, H J Oh, G Kaplan, J Lynch

Abstract readComparative Study
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 4 pooled it
6.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 4 syntheses or guidelines pooled it, 108 citations in OpenAlex.

  1. Public Health's Approach to Systemic Racism: a Systematic Literature Review.Journal of racial and ethnic health disparities · 2019
    Pooled it
  2. Pooled it
  3. Is segregation bad for your health?Epidemiologic reviews · 2009
    Pooled it
  4. Pooled it
  5. Article
  6. Alternative Approaches to Characterizing Disparate Care by Race, Ethnicity, and Insurance Between Hospitals.International journal of environmental research and public health · 2025
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  15. Using machine learning to estimate the effect of racial segregation on COVID-19 mortality in the United States.Proceedings of the National Academy of Sciences of the United States of America · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

R S CooperDepartment of Preventive Medicine and Epidemiology, Loyola University Medical School, Maywood, IL 60153, USA. rcooper@lumc.edu
J F Kennelly
R Durazo-Arvizu
H J Oh
G Kaplan
J Lynch
Loyola University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveexamined the association of mortality with selected socioeconomic indicators of inequality and segregation among blacks and whites younger than age 65 in 267 US metropolitan areas. The primary aim of the analysis was to operationalize the concept of institutional racism in public health.

methodsSocioeconomic indicators were drawn from Census and vital statistics data for 1989-1991 and included median household income; two measures of income inequality; percentage of the population that was black; and a measure of residential segregation.

resultsAge-adjusted premature mortality was 81% higher in blacks than in whites, and median household income was 40% lower. Income inequality, as measured by the Gini coefficient, was greater within the black population (0.45) than within the white population (0.40; p < 0.001). To confirm that the proxy socioeconomic variables were relevant markers of population health status, regression analysis was performed initially on data for the total population. These variables were all independently and significantly related to premature mortality (p < or = 0.01; R(2) = 0.74). Income inequality for the total population was significantly correlated with premature mortality (r = 0.33). Black (r = 0.26) and white (r = 0.20) population-specific correlations between income inequality and premature mortality, while still significant, were smaller. Residential segregation was significantly related to premature mortality and income inequality for blacks (r = 0.38 for both); among whites, however, segregation was modestly correlated with premature mortality (r = 0.19) and uncorrelated with income inequality. Regional analyses demonstrated that the association of segregation with premature mortality was much more pronounced in the South and in areas with larger black populations.

conclusionSocial factors such as income inequality and segregation strongly influence premature mortality in the US. Ecologic studies of the relationships among social factors and population health can measure attributes of the social context that may be relevant for population health, providing the basis for imputing macro-level relationships.

Indexed as

MortalityPrejudiceSocioeconomic FactorsUrban HealthAdolescentAdultBlack or African AmericanCensusesChildChild, PreschoolHealth Services AccessibilityHousingHumansInfantInfant, NewbornMiddle Aged

Identifiers

PMID12042610
PMCPMC1497360
OpenAlexW2466607819

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.